Optimization Logistic Based Cost and Time Model Feasibility Assessment in Dump Truck Investment
Muhamad Ali Pahmi (1), Kristanto Mulyono(1), Wilarso(2)

Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Abstract

Indonesia in the world of logistics, Indonesia has the most challenging region in the world, with the archipelago of approximately 17.000 islands and mountains. And logistics has now become an inseparable part of Indonesias economic sustainability. Based on BPS Logistic Cost data in Indonesia is higher than other ASEAN countries which have relatively less infrastructure. (20% up to 25% of GDP). Therefore, every company in this business is trying to make the operation of logistics achieved efficiency and effectiveness. In this paper, we are challenged to propose an optimization model (cost and time based) in the logistics system of dump truck investment and it is a feasibility study in a PT. X which transports two types of commodities, namely coal and clinker. Based on data collected, the potential for cargo at the port of ex-coal unloading reaches 195.000 tons/month, while the clinker from the factory reaches 60.000 tons/month up to 90.000 tons/month. With assuming 8 up to 15 rit per day for one dump truck. The methodology being used in this paper consists of two techniques, the first is system modeling using excel-based calculation analysis to find the level of cost & time optimization, while an investment feasibility study is assessed using the NPV and IRR methods. The findings of this study found that the optimization value of the number of dump truck vehicles that can absorb the assumption of total sales orders above is 25 units. The results of IRR analysis by comparing the difference between the present value (PV), and the difference between the PV and the Original Investment (OI), with an assumption of a 15% return rate, were conducted on several interest rate experiments of 12%, 13%, and 14%, resulting in a rate of return above 15% (average 30%). This shows that this investment is feasible

Keywords: Optimization Logistic, System modelling, investment feasibility study, NPV, IRR

Topic: Engineering and Technology